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Gan.AI Launches Myna-mini: Pioneering Text-to-Speech Model supporting 22 Indic Languages alongside English

National, 9 August 2024: Gan.AI, a leading startup in conversational AI research and products, today announced the launch of Myna-mini, a groundbreaking text-to-speech (TTS) model and API. This research preview marks a significant milestone in language technology, being the first and only TTS model in the world to support all 22 Official Indic languages alongside English.

Key Features x Myna-mini:

Code-mixed support means Myna-mini can seamlessly handle text that mixes multiple languages in a single sentence or paragraph. This reflects how people naturally communicate, switching between languages mid-conversation. Myna-mini is the result of extensive research and development by Gan.AI’s team, which includes experts from prestigious institutions and tech giants such as Stanford, FAIR, IITs, BITS, Samsung, Microsoft, and Adobe Research. The team boasts over 1000 combined research citations in the field.

“Myna-mini represents a significant step towards making AI accessible and useful for everyone, regardless of the language they speak,” said Suvrat, founder and CEO of Gan.AI. “We’re excited to bridge the language gap and bring advanced voice technology to over 1 billion people.”

The launch of Myna-mini is just the beginning. Gan.AI has announced plans for even more advanced models, including:

Gan.AI’s technology has already been trusted by world-renowned brands for personalizing video and audio campaigns, including Uber, Cadbury, Swiggy, Zomato, the San Antonio Spurs, and Mumbai Indians.

Developers, researchers, and businesses are invited to explore Myna-mini at playground.gan.ai. Gan.AI welcomes feedback from the community to guide future development and improvements.

About Gan.AI: Gan.AI is a leading conversational AI research and products company, dedicated to pushing the boundaries of communication technology. With a focus on inclusivity and accessibility, Gan.AI develops cutting-edge AI solutions that cater to diverse linguistic landscapes.

For more information, visit www.gan.ai or contact press@gan.ai.

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